Steganography is the art of hiding a message in an image and also the fact that there is a message inside the image. Steganography is a type of information hiding technique which embeds a secret message in a image,vedio,audio etc called the cover file. The main purpose of steganography is to provide security to personal or public data. In this paper Interpolative Absolute Moment Block Truncation Coding(I-AMBTC) is used for compressing the cover image and to embed the secret data into the cover. I-AMBTC compression is more than the AMBTC technique as only half of the number of pixels in the binary converted image are transmitted. Here a comparison of the I-AMBTC technique is done for 2x2, 4x4, 8x8 block sizes. I-AMBTC is a lossless technique as the cover image and the secret image can be recovered completely.
We proposed to use singular wavelet transform (SWT) in OFDM based LTE because the SWT based system does not require a cyclic prefix, so spectrum efficiency is increased. SWT is used to analyze signals by the coefficients of SWT in both time and frequency domain. In order to investigate the bit error rate performance a practical channel model is required. Many channel models are proposed to mimic a real world scenario. Out of which Stanford university interim (SUI) channel provides best results so we replaced AWGN channel with SUI channel. We investigated the performance of bit error rates of SWT based OFDM in LTE for different modulation techniques such as QPSK, 64 QAM, 128 QAM under SUI 3 Channel model using SWT based haar and db2 transform. BER is reduced by 2 times when compared to the existing system.
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